library(ggplot2)
library(dplyr)
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library(arsenal)
library(data.table)
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sleephygiene <- read_csv("/Users/Ivanics/Desktop/SPH/4th term/HealthComm/Qualtrics post/Sleep Hygiene Post-Survey_May 3, 2021_16.45.csv")
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sleephygiene$StartDate <- lubridate::ymd_hms(sleephygiene$StartDate)
## Warning: 2 failed to parse.
#Filter to include only responses beyond this time
sleephygiene <- sleephygiene %>% filter(StartDate >= "2021-04-29 00:00:00")
#Select out the variables we need
sleephygiene <- sleephygiene %>% select(Progress, `Duration (in seconds)`, Finished, LocationLatitude, LocationLongitude, DistributionChannel, UserLanguage, Q1, Q2, Q3, Q2_5_TEXT, Q4, Q5, Q6, Q37, Q92, Q93, Q94, Q38, Q39, Q10_2, Q10_3, Q9, Q61, Q84, Q85, Q81, Q63, Q96_1, Q96_2, Q96_3, Q96_4, Q96_5, Q96_6, Q96_7, Q96_8, Q95, Q83, Q82, Q69, Q62, Q64, Q90, Q91, Q89_1, Q67_1, Q67_2, Q67_3, Q75_1, Q75_2, Q75_3, Q68, Q70, Q70_18_TEXT, Q87, Q71, Q72, Q79, Q79_5_TEXT, Q74, Q73, Q73_5_TEXT, Q59_1, Q59_2, Q59_3, Q59_4, Q44_1, Q44_2, Q44_3, Q44_4, Q44_5, Q44_6, Q44_7, Q44_8, Q44_9, Q52)
sleephygiene <- rowid_to_column(sleephygiene, "ID")
#General factor recoding
sleephygiene <- sleephygiene %>% mutate(
Q1_consent = factor(Q1)) %>%
mutate(Q2_program = factor(Q2)) %>%
mutate(Q3_role = factor(Q3)) %>%
mutate(Q4_gender = factor(Q4)) %>%
mutate(Q5_age = factor(Q5)) %>%
mutate(Q6_numberinhousehold = as.numeric(Q6)) %>%
mutate(Q37_employed = factor(Q37)) %>%
mutate(Q92_notSPHemployed = factor(Q92)) %>%
mutate(Q93_worksetting = factor(Q93)) %>%
mutate(Q94_dayornight = factor(Q94)) %>%
mutate(Q38_worksetting = factor(Q38)) %>%
mutate(Q39_dayornight = factor(Q39)) %>%
mutate(Q10_hoursofsleeplast5workdays = as.numeric(Q10_2)) %>%
mutate(Q10_hoursofsleeppastweekend = as.numeric(Q10_3)) %>%
mutate(Q9_howoftensleepypastmonth = factor(Q9)) %>%
mutate(Q61_howoftensleepypasttwoweeks = factor(Q61)) %>%
mutate(Q84_awareofhowtoimprovesleepquality = factor(Q84)) %>%
mutate(Q81_seenorheardfromGNbloombergcampaign = factor(Q81)) %>%
mutate(Q63_recalltoolsfreetect = factor(Q63)) %>%
mutate(Q96_picture1 = factor(Q96_1)) %>%
mutate(Q96_picture2 = factor(Q96_2)) %>%
mutate(Q96_picture3 = factor(Q96_3)) %>%
mutate(Q96_picture4 = factor(Q96_4)) %>%
mutate(Q96_picture5 = factor(Q96_5)) %>%
mutate(Q96_picture6 = factor(Q96_6)) %>%
mutate(Q96_picture7 = factor(Q96_7)) %>%
mutate(Q96_picture8 = factor(Q96_8)) %>%
mutate(Q95_talkedtoanyone = factor(Q95)) %>%
mutate(Q82_knowanyonewhoengaged = factor(Q82)) %>%
mutate(Q69_didyouengagewiththecampaign = factor(Q69)) %>%
mutate(Q90_areyouhappywithyoursleepquality_awareofcampaign = factor(Q90)) %>%
mutate(Q91_areyouhappywithyoursleepquality_notawareofcampaign = factor(Q91)) %>%
mutate(Q89_ratesleepquality_notawareofcampaign = factor(Q89_1)) %>%
mutate(Q67_move30minutes = as.numeric(Q67_1)) %>%
mutate(Q67_breathing = as.numeric(Q67_2)) %>%
mutate(Q67_powerdown = as.numeric(Q67_2)) %>%
mutate(Q75_moving = factor(Q75_1)) %>%
mutate(Q75_breathing = factor(Q75_2)) %>%
mutate(Q75_powerdown = factor(Q75_3)) %>%
mutate(Q68_timing = factor(Q68)) %>%
mutate(Q87_idealtime = factor(Q87)) %>%
mutate(Q74_rafflemotivating = factor(Q74)) %>%
mutate(Q75_moving = factor(Q75_1)) %>%
mutate(Q59_canmaintainhealthysleephabits = factor(Q59_1)) %>%
mutate(Q59_cancutoutscreen = factor(Q59_2)) %>%
mutate(Q59_canexercise = factor(Q59_3)) %>%
mutate(Q59_canparticipateinbreathing = factor(Q59_4)) %>%
mutate(Q44_goodnightsleepisimportant = factor(Q44_1)) %>%
mutate(Q44_mentalclarity = factor(Q44_2)) %>%
mutate(Q44_feelpositive = factor(Q44_3)) %>%
mutate(Q44_cuttingoutscreenleadstobettersleep = factor(Q44_4)) %>%
mutate(Q44_exercisingleadstobettersleep = factor(Q44_5)) %>%
mutate(Q44_breathingexercisesleadstobettersleep = factor(Q44_6)) %>%
mutate(Q44_iwillstopscreens = factor(Q44_7)) %>%
mutate(Q44_iwillexercise = factor(Q44_8)) %>%
mutate(Q44_iwillbreathe = factor(Q44_9)) %>%
mutate(Q52_additionalcomments = factor(Q52))
#Q85
resp.split_85 <- strsplit(sleephygiene$Q85, ",")
lev <- unique(unlist(resp.split_85))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_85, function(x) table(factor(x, levels=lev))))))
sleephygiene <- sleephygiene %>%
mutate(Q85_waystoimprovesleepquality = case_when(
Not.drinking.caffeinated.beverages.late.in.the.day == 1 ~ "Not drinking caffeinated beverages late in the day",
Switching.off.electronics.one.hour.before.sleep == 1 ~ "Switching off electronics one hour before sleep",
Incorporating.moderate.exercise.as.part.of.your.day == 1 ~ "Incorporating moderate exercise as part of your day",
Increase.natural.bright.light.exposure.in.the.day == 1 ~ "Increase natural bright light exposure in the day",
Reduce.irregular.or.long.daytime.naps == 1 ~ "Reduce irregular or long daytime naps",
Try.to.sleep.and.wake.at.consistent.times == 1 ~ "Try to sleep and wake at consistent times",
Take.a.melatonin.supplement == 1 ~ "Take a melatonin supplement",
Decrease.alcohol.consumption == 1 ~ "Decrease alcohol consumption",
Deep.breathing.exercises == 1 ~ "Deep breathing exercises"))
#Q83
resp.split_83 <- strsplit(sleephygiene$Q83, ",")
lev <- unique(unlist(resp.split_83))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_83, function(x) table(factor(x, levels=lev))))))
sleephygiene <- sleephygiene %>%
mutate(Q83_talkedtowho = case_when(
Friends == 1 ~ "Friends",
Spouse == 1 ~ "Spouse",
Relatives == 1 ~ "Relatives",
Colleague == 1 ~ "Colleague"))
#Q62
resp.split_62 <- strsplit(sleephygiene$Q62, ",")
lev <- unique(unlist(resp.split_62))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_62, function(x) table(factor(x, levels=lev))))))
sleephygiene <- sleephygiene %>%
mutate(Q62_howdidyouengage = case_when(
Instagram.campaign == 1 ~ "Instagram campaign",
Text.message.campaign == 1 ~ "Text message campaign",
Word.of.mouth.discussion.with.others == 1 ~ "Word of mouth/discussion with others"))
#64
resp.split_64 <- strsplit(sleephygiene$Q64, ",")
lev <- unique(unlist(resp.split_64))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_64, function(x) table(factor(x, levels=lev))))))
sleephygiene <- sleephygiene %>%
mutate(Q64_whichtechniquedidyoutry = case_when(
X.MoveMore == 1 ~ "Movemore",
X.Breathe== 1 ~ "Breathe",
X.PowerDown == 1 ~ "Powerdown",
None.of.the.above == 1 ~ "None of the above"))
#70
resp.split_70 <- strsplit(sleephygiene$Q70, ",")
lev <- unique(unlist(resp.split_70))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_70, function(x) table(factor(x, levels=lev))))))
sleephygiene <- sleephygiene %>%
mutate(Q70_timingoftextsinconvenient = case_when(
#Messages.were.too.frequent == 1 ~ "Messages were too frequent",
Messages.were.too.infrequent== 1 ~ "Messages were too infrequent",
Received.message.too.early.in.the.day == 1 ~ "Received message too early in the day",
#Received.message.too.late.in.the.day == 1 ~ "Received message too late in the day",
Other..please.explain.below. == 1 ~ "Other (please explain below)"))
#71
resp.split_71 <- strsplit(sleephygiene$Q71, ",")
lev <- unique(unlist(resp.split_71))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_71, function(x) table(factor(x, levels=lev))))))
sleephygiene <- sleephygiene %>%
mutate(Q71_whichchannelmosteducational = case_when(
Text == 1 ~ "Text",
Instagram == 1 ~ "Instagram"))
#Discussion.with.others.about.the.campaign == 1 ~ "Discussion with others about the campaign",
#None.of.the.above.1 == 1 ~ "None of the above"))
#72 - look into
#Q79
resp.split_79 <- strsplit(sleephygiene$Q79, ",")
lev <- unique(unlist(resp.split_79))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_79, function(x) table(factor(x, levels=lev))))))
sleephygiene <- sleephygiene %>%
mutate(Q79_moresuccessfuloutcomsuggestions = case_when(
There.was.an.in.person.on.campus.component.to.the.campaign == 1 ~ "There was an in-person/on-campus component to the campaign",
The.campaign.was.longer == 1 ~ "The campaign was longer",
I.had.more.flexibility.in.my.day == 1 ~ "I had more flexibility in my day",
There.were.subject.matter.experts.checking.in.with.me.one.on.one == 1 ~ "There were subject matter experts checking in with me one-on-one"))
#Other == 1 ~ "Reduce irregular or long daytime naps",
#Q73
resp.split_73 <- strsplit(sleephygiene$Q73, ",")
lev <- unique(unlist(resp.split_73))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_73, function(x) table(factor(x, levels=lev))))))
sleephygiene <- sleephygiene %>%
mutate(Q73_hearabouthow = case_when(
Instagram.1 == 1 ~ "Instagram",
JHSPH.Activities.email == 1 ~ "JHSPH Activities email",
#Class.announcement == 1 ~ "Class announcement",
Word.of.mouth.discussion.with.others.1 == 1 ~ "Word of mouth/discussion with others"))
#Other == 1 ~ "Reduce irregular or long daytime naps",
Plots for wakeup and sleep times
##
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## layout
workdayssleep <- sleephygiene %>% ggplot( aes(x=Q10_hoursofsleeplast5workdays)) +
geom_histogram( binwidth=1, fill="#69b3a2", color="#e9ecef", alpha=0.9) +
ggtitle("Hours of sleep last five workdays") +
theme(
plot.title = element_text(size=32)
) +
labs(x="Number of hours of sleep in the past five workdays", y="Number of participants")
ggplotly(workdayssleep)
## Warning: Removed 2 rows containing non-finite values (stat_bin).
#Plot for weekend
weekend <- sleephygiene %>% ggplot( aes(x=Q10_hoursofsleeppastweekend)) +
geom_histogram( binwidth=1, fill="#69b3a2", color="#e9ecef", alpha=0.9) +
ggtitle("Hours of sleep last weekend") +
theme(
plot.title = element_text(size=32)
) +
labs(x="Number of hours of sleep in the past weekend", y="Number of participants")
ggplotly(weekend)
## Warning: Removed 2 rows containing non-finite values (stat_bin).
#Tab 1
sleephygiene$Q9_howoftensleepypastmonth <- factor(sleephygiene$Q9_howoftensleepypastmonth, levels = c("Never", "Rarely", "Sometimes", "Very often", "Always"))
sleephygiene$Q61_howoftensleepypasttwoweeks <- factor(sleephygiene$Q61_howoftensleepypasttwoweeks, levels = c("Never", "Rarely", "Sometimes", "Very often", "Always"))
sleephygiene$Q89_ratesleepquality_notawareofcampaign <- factor(sleephygiene$Q89_ratesleepquality_notawareofcampaign, levels = c("Poor", "Fair", "Good", "Excellent"))
sleephygiene$Q75_moving <- factor(sleephygiene$Q75_moving, levels = c("Extremely unhelpful", "Somewhat unhelpful", "Neither helpful nor unhelpful", "Somewhat helpful", "Extremely helpful"))
sleephygiene$Q75_breathing <- factor(sleephygiene$Q75_breathing, levels = c("Extremely unhelpful", "Somewhat unhelpful", "Neither helpful nor unhelpful", "Somewhat helpful", "Extremely helpful"))
sleephygiene$Q75_powerdown <- factor(sleephygiene$Q75_powerdown, levels = c("Extremely unhelpful", "Somewhat unhelpful", "Neither helpful nor unhelpful", "Somewhat helpful", "Extremely helpful"))
sleephygiene$Q87_idealtime <- factor(sleephygiene$Q87_idealtime, levels = c("Early morning (6:00 am - 9:00 am)", "Late morning (9:01 am - 12:00 pm)", "Early afternoon (12:01 pm - 3:00 pm)", "Late afternoon (3:01 pm - 6:00 pm)", "Early evening (6:01 pm - 9:00 pm)", "Late evening (9:01 pm - 12:00 am)", "Other (please specify)"))
sleephygiene$Q59_canmaintainhealthysleephabits <- factor(sleephygiene$Q59_canmaintainhealthysleephabits, levels = c("Not at all confident", "Somewhat confident", "Extremely confident"))
sleephygiene$Q59_cancutoutscreen <- factor(sleephygiene$Q59_cancutoutscreen, levels = c("Not at all confident", "Somewhat confident", "Extremely confident"))
sleephygiene$Q59_canexercise <- factor(sleephygiene$Q59_canexercise, levels = c("Not at all confident", "Somewhat confident", "Extremely confident"))
sleephygiene$Q59_canparticipateinbreathing <- factor(sleephygiene$Q59_canparticipateinbreathing, levels = c("Not at all confident", "Somewhat confident", "Extremely confident"))
sleephygiene$Q44_goodnightsleepisimportant <- factor(sleephygiene$Q44_goodnightsleepisimportant, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_mentalclarity <- factor(sleephygiene$Q44_mentalclarity, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_feelpositive <- factor(sleephygiene$Q44_feelpositive, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_cuttingoutscreenleadstobettersleep <- factor(sleephygiene$Q44_cuttingoutscreenleadstobettersleep, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_exercisingleadstobettersleep <- factor(sleephygiene$Q44_exercisingleadstobettersleep, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_breathingexercisesleadstobettersleep <- factor(sleephygiene$Q44_breathingexercisesleadstobettersleep, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_iwillstopscreens <- factor(sleephygiene$Q44_iwillstopscreens, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_iwillexercise <- factor(sleephygiene$Q44_iwillexercise, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_iwillbreathe <- factor(sleephygiene$Q44_iwillbreathe, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
library(expss)
sleephygiene = apply_labels(sleephygiene,
Q3_role = "What is your role at Bloomberg",
Q4_gender = "Which best describes your gender identity?",
Q2_program = "What is your current program at Bloomberg?",
Q5_age = "How old are you?",
Q6_numberinhousehold = "How many people live in your household, including yourself?",
Q37_employed = "If you are a student at Bloomberg, are you currently employed outside of your education program?",
Q92_notSPHemployed = "Are you currently employed?",
Q93_worksetting = "Which of the following best describes your current work setting?",
Q94_dayornight = "Do you work day or night shifts?",
Q38_worksetting = "Which of the following best describes your current work setting?",
Q39_dayornight = "Do you work day or night shifts?",
Q10_hoursofsleeplast5workdays = "On average, how many hours of sleep did you get per night during the following periods of time: during the last 5 workdays?",
Q10_hoursofsleeppastweekend = "On average, how many hours of sleep did you get per night during the following periods of time: during the past weekend?",
Q9_howoftensleepypastmonth = "How often did you feel sleepy during the day in the past month?",
Q61_howoftensleepypasttwoweeks = "How often did you feel sleepy during the day during the past 2 weeks?",
Q84_awareofhowtoimprovesleepquality = "Do you know any ways a person can improve their sleep quality?",
Q85_waystoimprovesleepquality = "What are some of the ways to improve sleep quality that you know?",
Q81_seenorheardfromGNbloombergcampaign = "In the last two-three weeks have you heard, seen, or received any information from the #GoodnightBloomberg campaign led by JHSPH students promoting better sleep?",
Q63_recalltoolsfreetect = "Can you recall any specific tools, techniques, or resources from the campaign? Please describe below.",
Q96_picture1 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 1",
Q96_picture2 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 2",
Q96_picture3 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 3",
Q96_picture4 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 4",
Q96_picture5 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 5",
Q96_picture6 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 6",
Q96_picture7 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 7",
Q96_picture8 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 8",
Q95_talkedtoanyone = "Have you talked to anyone about the #GoodnightBloomberg campaign?",
Q83_talkedtowho = "Please indicate with whom you talked about #GoodnightBloomberg (check all that apply).",
Q82_knowanyonewhoengaged = "Do you know anyone who engaged in any way with the #GoodnightBloomberg campaign about promoting better sleep?",
Q69_didyouengagewiththecampaign = "Did you engage in any way with the #GoodnightBloomberg campaign led by JHSPH students during the past 2 weeks?",
Q62_howdidyouengage = "Please select which of the following parts of the #GoodnightBloomberg campaign you engaged in:",
Q64_whichtechniquedidyoutry = "Which of the following techniques did you try at least once in the last 2 weeks (choose all that apply)?",
Q90_areyouhappywithyoursleepquality_awareofcampaign = "Are you happy with your sleep quality overall currently?",
Q91_areyouhappywithyoursleepquality_notawareofcampaign = "Are you happy with your sleep quality overall currently?",
Q89_ratesleepquality_notawareofcampaign = "Please rate your sleep quality from the following options: In the last two weeks? (on average)",
Q67_move30minutes = "In the last two weeks, how many days did you participate in the following techniques? Move 30 minutes total per day",
Q67_breathing = "In the last two weeks, how many days did you participate in the following techniques? Use a breathing exercise",
Q67_powerdown = "In the last two weeks, how many days did you participate in the following techniques? Power down your screens (i.e. cell phone, tablet, computer, TV) 1 hour before bed",
Q75_moving = "How helpful did you find the following activities for getting better quality sleep in the past 2 weeks? Moving 30 minutes total per day",
Q75_breathing = "How helpful did you find the following activities for getting better quality sleep in the past 2 weeks? Using a breathing exercise",
Q75_powerdown = "How helpful did you find the following activities for getting better quality sleep in the past 2 weeks? Powering down your screens (i.e. cell phone, tablet, computer, TV) 1 hour before bed",
Q68_timing = "Was the timing of the texts/posts convenient for you to adopt the recommended activity? ",
Q70_timingoftextsinconvenient = "Please provide information below about why the timing of the texts/posts was inconvenient?",
Q87_idealtime = "What would have been the ideal time to receive the message (EST/EDT)?",
Q71_whichchannelmosteducational = "Which channel did you find the most educational?",
Q79_moresuccessfuloutcomsuggestions = "I think I would have had a more successful outcome (e.g. better sleep quality) if (choose all that may apply):",
Q74_rafflemotivating = "Did you find the raffles motivating for participation in the #GoodnightBloomberg campaign?",
Q73_hearabouthow = "How did you hear about the #GoodnightBloomberg campaign?",
Q59_canmaintainhealthysleephabits = "Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can maintain healthy sleep habits.",
Q59_cancutoutscreen = "Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can cut out screen use 1 hour before bed.",
Q59_canexercise = "Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can exercise for 30 minutes total each day.",
Q59_canparticipateinbreathing = "Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can participate in a breathing exercise during the day or before bed.",
Q44_goodnightsleepisimportant = "Please rate your agreement with the following statements: Getting a good night's sleep is important to me.",
Q44_mentalclarity = "Please rate your agreement with the following statements: Having a regular sleep routine improves mental clarity/sharpness.",
Q44_feelpositive = "Please rate your agreement with the following statements: I feel positive about the quality of my sleep.",
Q44_cuttingoutscreenleadstobettersleep = "Please rate your agreement with the following statements: I think cutting out screen use 1 hour before bed leads to better sleep.",
Q44_exercisingleadstobettersleep = "Please rate your agreement with the following statements: I think exercising regularly leads to better sleep.",
Q44_breathingexercisesleadstobettersleep = "Please rate your agreement with the following statements: I think participating in breathing exercises during the day or before bed leads to better sleep.",
Q44_iwillstopscreens = "Please rate your agreement with the following statements: In the next two weeks, I will stop using screens 1 hour before bed for better sleep.",
Q44_iwillexercise = "Please rate your agreement with the following statements: In the next two weeks, I will exercise for at least 30 minutes total each day for better sleep.",
Q44_iwillbreathe = "Please rate your agreement with the following statements: In the next two weeks, I will do a daily breathing exercise for better sleep.",
Q52_additionalcomments = "Please share any additional comments or feedback you have about the #GoodnightBloomberg sleep campaign below."
)
attach(sleephygiene)
tab1 <- tableby(~ Q3_role +
Q4_gender +
Q5_age +
Q6_numberinhousehold +
Q37_employed +
Q10_hoursofsleeplast5workdays +
Q10_hoursofsleeppastweekend +
Q9_howoftensleepypastmonth +
Q61_howoftensleepypasttwoweeks +
Q84_awareofhowtoimprovesleepquality +
Q81_seenorheardfromGNbloombergcampaign +
Q63_recalltoolsfreetect +
Q96_picture1 +
Q96_picture2 +
Q96_picture3 +
Q96_picture4 +
Q96_picture5 +
Q96_picture6 +
Q96_picture7 +
Q96_picture8 +
Q95_talkedtoanyone +
Q82_knowanyonewhoengaged +
Q69_didyouengagewiththecampaign +
Q67_move30minutes +
Q67_breathing +
Q67_powerdown +
Q68_timing +
Q79_moresuccessfuloutcomsuggestions +
Q59_canmaintainhealthysleephabits +
Q59_cancutoutscreen +
Q59_canexercise +
Q59_canparticipateinbreathing +
Q44_goodnightsleepisimportant +
Q44_mentalclarity +
Q44_feelpositive +
Q44_cuttingoutscreenleadstobettersleep +
Q44_exercisingleadstobettersleep +
Q44_breathingexercisesleadstobettersleep +
Q44_iwillstopscreens +
Q44_iwillexercise +
Q44_iwillbreathe,
data=sleephygiene, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab1, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| What is your role at Bloomberg |
|
| N-Miss |
2 |
| Faculty/Staff Member |
4 (10.3%) |
| Full-time student |
21 (53.8%) |
| Part-time student |
14 (35.9%) |
| Which best describes your gender identity? |
|
| N-Miss |
2 |
| Female |
32 (82.1%) |
| Male |
6 (15.4%) |
| Non-binary / third gender |
1 (2.6%) |
| How old are you? |
|
| N-Miss |
2 |
| 18-25 |
10 (25.6%) |
| 26-34 |
16 (41.0%) |
| 35-44 |
6 (15.4%) |
| 45-54 |
7 (17.9%) |
| How many people live in your household, including yourself? |
|
| Median (Q1, Q3) |
2.00 (2.00, 3.00) |
| If you are a student at Bloomberg, are you currently employed outside of your education program? |
|
| N-Miss |
2 |
| N/A - I am not a student at Bloomberg |
4 (10.3%) |
| No |
19 (48.7%) |
| Yes |
16 (41.0%) |
| On average, how many hours of sleep did you get per night during the following periods of time: during the last 5 workdays? |
|
| Median (Q1, Q3) |
7.00 (6.00, 7.00) |
| On average, how many hours of sleep did you get per night during the following periods of time: during the past weekend? |
|
| Median (Q1, Q3) |
8.00 (7.00, 8.00) |
| How often did you feel sleepy during the day in the past month? |
|
| N-Miss |
13 |
| Never |
1 (3.6%) |
| Rarely |
5 (17.9%) |
| Sometimes |
20 (71.4%) |
| Very often |
0 (0.0%) |
| Always |
2 (7.1%) |
| How often did you feel sleepy during the day during the past 2 weeks? |
|
| N-Miss |
10 |
| Never |
2 (6.5%) |
| Rarely |
5 (16.1%) |
| Sometimes |
21 (67.7%) |
| Very often |
0 (0.0%) |
| Always |
3 (9.7%) |
| Do you know any ways a person can improve their sleep quality? |
|
| N-Miss |
1 |
| Yes |
40 (100.0%) |
| In the last two-three weeks have you heard, seen, or received any information from the #GoodnightBloomberg campaign led by JHSPH students promoting better sleep? |
|
| N-Miss |
1 |
| Don’t know |
5 (12.5%) |
| No |
15 (37.5%) |
| Yes |
20 (50.0%) |
| Can you recall any specific tools, techniques, or resources from the campaign? Please describe below. |
|
| N-Miss |
27 |
| #movemore |
|
#breathe #poweroff | 1 (7.1%) | | Breathe | 1 (7.1%) | | deep breaths, exercise, power down phones 1-2 hours before bed | 1 (7.1%) | | Emails about text campaign | 1 (7.1%) | | I got one t4ext but I think I was supposed to respond–no more came | 1 (7.1%) | | I received text messages with videos. | 1 (7.1%) | | I remember an email with the graphic. | 1 (7.1%) | | In the past 2 weeks, I’ve been consistently working out / dancing even if its for 20 minutes a day. Cycling in the evening has become a habit too (as gyms in India have been closed due to stringent lockdown owing to increased case load). #MoveMore has helped me sleep a little better and become more regular with my sleep routine. | 1 (7.1%) | | moving more, turning off electronics | 1 (7.1%) | | Moving, breathing techniques | 1 (7.1%) | | No, but I did evaluate materials as part of the previous survey | 1 (7.1%) | | Text messages, specifically encouraging deep breathing, exercises, and screen hygiene. | 1 (7.1%) | | turning off devices, deep breathing, excercise | 1 (7.1%) | | Zoom backgrounds | 1 (7.1%) | |Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 1 | | | N-Miss | 6 | | No | 7 (20.0%) | | Not sure | 25 (71.4%) | | Yes | 3 (8.6%) | |Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 2 | | | N-Miss | 5 | | Not sure | 18 (50.0%) | | Yes | 18 (50.0%) | |Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 3 | | | N-Miss | 6 | | No | 5 (14.3%) | | Not sure | 28 (80.0%) | | Yes | 2 (5.7%) | |Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 4 | | | N-Miss | 6 | | No | 4 (11.4%) | | Not sure | 26 (74.3%) | | Yes | 5 (14.3%) | |Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 5 | | | N-Miss | 6 | | No | 2 (5.7%) | | Not sure | 26 (74.3%) | | Yes | 7 (20.0%) | |Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 6 | | | N-Miss | 6 | | No | 4 (11.4%) | | Not sure | 30 (85.7%) | | Yes | 1 (2.9%) | |Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 7 | | | N-Miss | 6 | | No | 2 (5.7%) | | Not sure | 29 (82.9%) | | Yes | 4 (11.4%) | |Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 8 | | | N-Miss | 6 | | No | 3 (8.6%) | | Not sure | 30 (85.7%) | | Yes | 2 (5.7%) | |Have you talked to anyone about the #GoodnightBloomberg campaign? | | | N-Miss | 1 | | No | 31 (77.5%) | | Yes | 9 (22.5%) | |Do you know anyone who engaged in any way with the #GoodnightBloomberg campaign about promoting better sleep? | | | N-Miss | 1 | | No | 36 (90.0%) | | Yes | 4 (10.0%) | |Did you engage in any way with the #GoodnightBloomberg campaign led by JHSPH students during the past 2 weeks? | | | N-Miss | 1 | | No | 27 (67.5%) | | Yes | 13 (32.5%) | |In the last two weeks, how many days did you participate in the following techniques? Move 30 minutes total per day | | | Median (Q1, Q3) | 9.00 (5.00, 12.00) | |In the last two weeks, how many days did you participate in the following techniques? Use a breathing exercise | | | Median (Q1, Q3) | 4.00 (2.00, 6.50) | |In the last two weeks, how many days did you participate in the following techniques? Power down your screens (i.e. cell phone, tablet, computer, TV) 1 hour before bed | | | Median (Q1, Q3) | 4.00 (2.00, 6.50) | |Was the timing of the texts/posts convenient for you to adopt the recommended activity? | | | N-Miss | 14 | | No | 10 (37.0%) | | Yes | 17 (63.0%) | |I think I would have had a more successful outcome (e.g. better sleep quality) if (choose all that may apply): | | | N-Miss | 14 | | I had more flexibility in my day | 12 (44.4%) | | The campaign was longer | 9 (33.3%) | | There was an in-person/on-campus component to the campaign | 5 (18.5%) | | There were subject matter experts checking in with me one-on-one | 1 (3.7%) | |Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can maintain healthy sleep habits. | | | N-Miss | 3 | | Not at all confident | 6 (15.8%) | | Somewhat confident | 23 (60.5%) | | Extremely confident | 9 (23.7%) | |Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can cut out screen use 1 hour before bed. | | | N-Miss | 3 | | Not at all confident | 19 (50.0%) | | Somewhat confident | 11 (28.9%) | | Extremely confident | 8 (21.1%) | |Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can exercise for 30 minutes total each day. | | | N-Miss | 3 | | Not at all confident | 4 (10.5%) | | Somewhat confident | 17 (44.7%) | | Extremely confident | 17 (44.7%) | |Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can participate in a breathing exercise during the day or before bed. | | | N-Miss | 2 | | Not at all confident | 4 (10.3%) | | Somewhat confident | 24 (61.5%) | | Extremely confident | 11 (28.2%) | |Please rate your agreement with the following statements: Getting a good night’s sleep is important to me. | | | N-Miss | 3 | | Strongly disagree | 0 (0.0%) | | Somewhat disagree | 0 (0.0%) | | Neither agree nor disagree | 1 (2.6%) | | Somewhat agree | 6 (15.8%) | | Strongly agree | 31 (81.6%) | |Please rate your agreement with the following statements: Having a regular sleep routine improves mental clarity/sharpness. | | | N-Miss | 2 | | Strongly disagree | 0 (0.0%) | | Somewhat disagree | 0 (0.0%) | | Neither agree nor disagree | 0 (0.0%) | | Somewhat agree | 5 (12.8%) | | Strongly agree | 34 (87.2%) | |Please rate your agreement with the following statements: I feel positive about the quality of my sleep. | | | N-Miss | 3 | | Strongly disagree | 5 (13.2%) | | Somewhat disagree | 6 (15.8%) | | Neither agree nor disagree | 7 (18.4%) | | Somewhat agree | 16 (42.1%) | | Strongly agree | 4 (10.5%) | |Please rate your agreement with the following statements: I think cutting out screen use 1 hour before bed leads to better sleep. | | | N-Miss | 2 | | Strongly disagree | 0 (0.0%) | | Somewhat disagree | 1 (2.6%) | | Neither agree nor disagree | 4 (10.3%) | | Somewhat agree | 10 (25.6%) | | Strongly agree | 24 (61.5%) | |Please rate your agreement with the following statements: I think exercising regularly leads to better sleep. | | | N-Miss | 2 | | Strongly disagree | 0 (0.0%) | | Somewhat disagree | 0 (0.0%) | | Neither agree nor disagree | 2 (5.1%) | | Somewhat agree | 8 (20.5%) | | Strongly agree | 29 (74.4%) | |Please rate your agreement with the following statements: I think participating in breathing exercises during the day or before bed leads to better sleep. | | | N-Miss | 2 | | Strongly disagree | 0 (0.0%) | | Somewhat disagree | 0 (0.0%) | | Neither agree nor disagree | 8 (20.5%) | | Somewhat agree | 19 (48.7%) | | Strongly agree | 12 (30.8%) | |Please rate your agreement with the following statements: In the next two weeks, I will stop using screens 1 hour before bed for better sleep. | | | N-Miss | 4 | | Strongly disagree | 9 (24.3%) | | Somewhat disagree | 7 (18.9%) | | Neither agree nor disagree | 3 (8.1%) | | Somewhat agree | 8 (21.6%) | | Strongly agree | 10 (27.0%) | |Please rate your agreement with the following statements: In the next two weeks, I will exercise for at least 30 minutes total each day for better sleep. | | | N-Miss | 3 | | Strongly disagree | 0 (0.0%) | | Somewhat disagree | 2 (5.3%) | | Neither agree nor disagree | 5 (13.2%) | | Somewhat agree | 12 (31.6%) | | Strongly agree | 19 (50.0%) | |Please rate your agreement with the following statements: In the next two weeks, I will do a daily breathing exercise for better sleep. | | | N-Miss | 3 | | Strongly disagree | 4 (10.5%) | | Somewhat disagree | 9 (23.7%) | | Neither agree nor disagree | 8 (21.1%) | | Somewhat agree | 9 (23.7%) | | Strongly agree | 8 (21.1%) |
#If student
student <- sleephygiene %>% filter(Q3_role %in% c("Part-time student", "Full-time student"))
tab2 <- tableby(~ Q2_program,
data=student, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab2, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| What is your current program at Bloomberg? |
|
| Doctoral Student |
9 (25.7%) |
| Masters Student |
24 (68.6%) |
| Other |
1 (2.9%) |
| Post-doctoral student |
1 (2.9%) |
#If employed
nonbloombergstudentemployed <- sleephygiene %>% filter(Q37_employed == "N/A - I am not a student at Bloomberg")
tab3 <- tableby(~ Q92_notSPHemployed,
data=nonbloombergstudentemployed, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab3, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| Are you currently employed? |
|
| Yes |
4 (100.0%) |
#If employed and not bloomberg
employed <- nonbloombergstudentemployed %>% filter(Q92_notSPHemployed == "Yes")
tab4 <- tableby(~ Q93_worksetting,
data=employed, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab4, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| Which of the following best describes your current work setting? |
|
| I sometimes work at home and sometimes at another location |
2 (50.0%) |
| I work from home |
2 (50.0%) |
#wfh not bloomberg
#wfhnotbloomberg <- nonbloombergstudentemployed %>% filter(Q93_worksetting == "I work in a location away from my home")
#tab5 <- tableby(~ Q94_dayornight,
# data=wfhnotbloomberg, test=TRUE, total=TRUE,
# numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
#summary(tab5, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
#student at bloomberg
studentemployed <- student %>% filter(Q37_employed == "Yes")
tab6 <- tableby(~ Q38_worksetting,
data=studentemployed, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab6, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| Which of the following best describes your current work setting? |
|
| I sometimes work at home and sometimes at another location |
5 (31.2%) |
| I work from home |
9 (56.2%) |
| I work in a location away from my home |
2 (12.5%) |
studentemployedlocation <- student %>% filter(Q39_dayornight == "I work in a location away from my home")
#tab7 <- tableby(~ Q39_dayornight,
# data=studentemployedlocation, test=TRUE, total=TRUE,
# numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
#summary(tab7, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
#Aware of how to improve sleep quality
awareofsleepqualityimprovements <- sleephygiene %>% filter(Q84_awareofhowtoimprovesleepquality == "Yes")
tab8 <- tableby(~ Q85_waystoimprovesleepquality,
data=awareofsleepqualityimprovements, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab8, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| What are some of the ways to improve sleep quality that you know? |
|
| N-Miss |
1 |
| Not drinking caffeinated beverages late in the day |
37 (94.9%) |
| Switching off electronics one hour before sleep |
1 (2.6%) |
| Try to sleep and wake at consistent times |
1 (2.6%) |
#Talked to someone
talkedtosomeone <- sleephygiene %>% filter(Q95_talkedtoanyone == "Yes")
tab9 <- tableby(~ Q83_talkedtowho,
data=talkedtosomeone, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab9, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| Please indicate with whom you talked about #GoodnightBloomberg (check all that apply). |
|
| N-Miss |
1 |
| Colleague |
1 (12.5%) |
| Friends |
5 (62.5%) |
| Spouse |
2 (25.0%) |
#engaged in any way
engagedwiththecampaign <- sleephygiene %>% filter(Q69_didyouengagewiththecampaign == "Yes")
tab10 <- tableby(~ Q62_howdidyouengage +
Q64_whichtechniquedidyoutry +
Q90_areyouhappywithyoursleepquality_awareofcampaign +
Q75_moving +
Q75_breathing +
Q75_powerdown,
data=engagedwiththecampaign, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab10, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| Please select which of the following parts of the #GoodnightBloomberg campaign you engaged in: |
|
| N-Miss |
1 |
| Instagram campaign |
7 (58.3%) |
| Text message campaign |
5 (41.7%) |
| Which of the following techniques did you try at least once in the last 2 weeks (choose all that apply)? |
|
| Breathe |
2 (15.4%) |
| Movemore |
9 (69.2%) |
| None of the above |
1 (7.7%) |
| Powerdown |
1 (7.7%) |
| Are you happy with your sleep quality overall currently? |
|
| No |
7 (53.8%) |
| Yes |
6 (46.2%) |
| How helpful did you find the following activities for getting better quality sleep in the past 2 weeks? Moving 30 minutes total per day |
|
| N-Miss |
5 |
| Extremely unhelpful |
0 (0.0%) |
| Somewhat unhelpful |
0 (0.0%) |
| Neither helpful nor unhelpful |
0 (0.0%) |
| Somewhat helpful |
6 (75.0%) |
| Extremely helpful |
2 (25.0%) |
| How helpful did you find the following activities for getting better quality sleep in the past 2 weeks? Using a breathing exercise |
|
| N-Miss |
7 |
| Extremely unhelpful |
0 (0.0%) |
| Somewhat unhelpful |
0 (0.0%) |
| Neither helpful nor unhelpful |
3 (50.0%) |
| Somewhat helpful |
2 (33.3%) |
| Extremely helpful |
1 (16.7%) |
| How helpful did you find the following activities for getting better quality sleep in the past 2 weeks? Powering down your screens (i.e. cell phone, tablet, computer, TV) 1 hour before bed |
|
| N-Miss |
9 |
| Extremely unhelpful |
0 (0.0%) |
| Somewhat unhelpful |
0 (0.0%) |
| Neither helpful nor unhelpful |
2 (50.0%) |
| Somewhat helpful |
1 (25.0%) |
| Extremely helpful |
1 (25.0%) |
#did not engagee in any way
noengagementwiththecampagin <- sleephygiene %>% filter(Q69_didyouengagewiththecampaign %in% c("No", "Don't know"))
tab11 <- tableby(~ Q91_areyouhappywithyoursleepquality_notawareofcampaign +
Q89_ratesleepquality_notawareofcampaign,
data=noengagementwiththecampagin, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab11, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| Are you happy with your sleep quality overall currently? |
|
| N-Miss |
8 |
| No |
10 (52.6%) |
| Yes |
9 (47.4%) |
| Please rate your sleep quality from the following options: In the last two weeks? (on average) |
|
| N-Miss |
7 |
| Poor |
3 (15.0%) |
| Fair |
6 (30.0%) |
| Good |
10 (50.0%) |
| Excellent |
1 (5.0%) |
#not convenient
notconvenient <- sleephygiene %>% filter(Q68_timing == "No")
tab12 <- tableby(~ Q70_timingoftextsinconvenient,
data=noengagementwiththecampagin, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab12, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| Please provide information below about why the timing of the texts/posts was inconvenient? |
|
| N-Miss |
19 |
| Messages were too infrequent |
2 (25.0%) |
| Other (please explain below) |
5 (62.5%) |
| Received message too early in the day |
1 (12.5%) |
#tooearlyintheday
tooearlyortoolate <- notconvenient %>% filter(Q70_timingoftextsinconvenient %in% c("Received message too early in the day", "Received message too late in the day"))
tab13 <- tableby(~ Q87_idealtime,
data=tooearlyortoolate, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab13, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| What would have been the ideal time to receive the message (EST/EDT)? |
|
| Early morning (6:00 am - 9:00 am) |
0 (0.0%) |
| Late morning (9:01 am - 12:00 pm) |
0 (0.0%) |
| Early afternoon (12:01 pm - 3:00 pm) |
0 (0.0%) |
| Late afternoon (3:01 pm - 6:00 pm) |
0 (0.0%) |
| Early evening (6:01 pm - 9:00 pm) |
1 (100.0%) |
| Late evening (9:01 pm - 12:00 am) |
0 (0.0%) |
| Other (please specify) |
0 (0.0%) |
#whichmosteducational
instagramortext <- engagedwiththecampaign %>% filter(Q62_howdidyouengage %in% c("Instagram", "Text message campaign"))
#tab14 <- tableby(~ Q71_whichchannelmosteducational +
# Q72,
# data=instagramortext, test=TRUE, total=TRUE,
# numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
#summary(tab14, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
#instagram
instagram <- engagedwiththecampaign %>% filter(Q62_howdidyouengage == "Instagram campaign")
tab15 <- tableby(~ Q74_rafflemotivating,
data=instagram, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab15, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| Did you find the raffles motivating for participation in the #GoodnightBloomberg campaign? |
|
| No |
1 (14.3%) |
| Yes |
6 (85.7%) |
#seenorheardofthecampiagn
seenordheard <- sleephygiene %>% filter(Q81_seenorheardfromGNbloombergcampaign == "Yes")
tab16 <- tableby(~ Q81_seenorheardfromGNbloombergcampaign,
data=seenordheard, test=TRUE, total=TRUE,
numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab16, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
| In the last two-three weeks have you heard, seen, or received any information from the #GoodnightBloomberg campaign led by JHSPH students promoting better sleep? |
|
| Don’t know |
0 (0.0%) |
| No |
0 (0.0%) |
| Yes |
20 (100.0%) |